machine learning

Scam websites tied to online shopping, pet sales, and other e-commerce schemes continue to cause millions in losses each year. Security tools can accurately detect fraudulent …

You probably think twice before downloading a random app or opening an unfamiliar email attachment. But how often do you stop to consider what happens when your team downloads …

A new study from the Karlsruhe Institute of Technology shows how geopolitical tensions shape cyberattacks on power grids, fuel systems, and other critical infrastructure. How …

AI is being added to business processes faster than it is being secured, creating a wide gap that attackers are already exploiting, according to the SANS Institute. The scale …

A team of researchers from Frondeur Labs, DistributedApps.ai, and OWASP has developed a new machine learning framework designed to help defenders anticipate attacker behavior …

Attackers have learned how to trick machine learning malware detectors with small but clever code changes, and researchers say they may finally have an answer. In a new paper, …

Adversarial AI Attacks, Mitigations, and Defense Strategies shows how AI systems can be attacked and how defenders can prepare. It’s essentially a walkthrough of …

Organizations that don’t adapt their security programs as they implement AI run the risk of being exposed to a variety of threats, both old and emerging ones. MLSecOps …

Machine learning models are everywhere now, from chatbots to credit scoring tools, and they carry traces of the data they were trained on. When someone asks to have their …

How are developers working in 2025? Docker surveyed over 4,500 people to find out, and the answers are a mix of progress and ongoing pain points. AI is gaining ground but …

Within the average enterprise, non-human identities (NHIs) now outnumber employees, contractors, and customers by anything between 10-to-1 and 92-to-1. Add to this the …

In this Help Net Security interview, Yinglian Xie, CEO at DataVisor, explains how evolving fraud tactics require adaptive, AI-driven prevention strategies. With fraudsters …